Local AI Clipboard Actions
Summary
Local AI Clipboard Actions applies on-device AI models directly to clipboard content for text transformations.
The tool monitors the clipboard and runs local models to perform operations such as rewriting, extraction, or formatting on copied text. It occupies the space between manual clipboard management and cloud-dependent AI services, keeping all processing on the host machine. The core distinction is the absence of any external data transfer, though this requires sufficient local compute resources to avoid slow inference. Pricing is not disclosed in the listing. The main constraint is reduced capability on hardware lacking strong GPU support compared with remote model access.
Bottom line: *Use when data must stay on-device; skip when faster cloud results matter more.*
Community Benchmarks Community
Sign in to submit a benchmarkNo community benchmarks yet. Be the first to share a real-world data point.
Community Reviews
Sign in to write a reviewNo reviews yet. Be the first to share your experience.
Discussion Community
Sign in to commentNo discussion yet. Sign in to start the conversation.
Compare Local AI Clipboard Actions
Spotted incorrect or missing data? Join our community of contributors.
Sign Up to ContributeCommunity Notes & Tips Community
Sign in to contributeBe the first to contribute. General notes, observations, gotchas, and tips from people who use this tool day-to-day.
Hours Saved & ROI Stories Community
Sign in to contributeBe the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."
Curated lists that include this category
Copy anything — a stack trace, a JSON blob, a rough paragraph — press ⌘⇧V from any app, and a popover appears with actions scoped to what you copied. Pick one, and the transformed text is ready to paste. There is no setup beyond dragging the app to Applications; the on-device AI engine, apfel, ships bundled inside, so the tool requires no API credentials and makes no network calls. The entire loop from copy to paste can complete without your hands leaving the keyboard.
The hard differentiator is the privacy guarantee. The vendor states that no data leaves the Mac — not through telemetry, not through a remote model endpoint. For developers working inside an NDA or handling proprietary code, that means the tool can be used on sensitive material that would be off-limits for a cloud-based assistant. The trade-off is explicit: the on-device model is what Apple ships with macOS 26 Tahoe, full stop.
The tool fits tightly into workflows that involve frequent, shallow transformations — grammar fixes, tone rewrites, comment generation, quick translations, error explanation. It does not run multi-step tasks, call external tools, or chain actions together; each invocation is a single prompt-in, result-out operation. Teams needing agents that act across multiple tools, or writers needing a model with a large context window for long documents, will hit that ceiling quickly.
Installation requires macOS 26 (Tahoe), Apple Silicon (M1 or later), and Apple Intelligence enabled in System Settings with English as the device language. Homebrew users can install via `brew install –cask arthur-ficial/tap/apfel-clip` and handle updates with `brew upgrade –cask`. Custom actions can be added by writing a prompt and assigning a label — it then appears in the action list automatically. The project is MIT-licensed and the source is available on GitHub.